Staff Data Scientist, ML - Growth
Quince- Full Time
- Junior (1 to 2 years)
Candidates should have a Bachelor's degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, or Engineering. They must possess 3-5 years of experience in using analytics to drive business decisions specifically in growth and marketing analytics. Strong expertise in SQL and Python is required, along with a deep understanding of statistical analysis, experimentation design, and analytical techniques such as regression and decision trees. Excellent verbal and written communication skills are essential, as is a proven ability to work independently and engage proactively with business stakeholders.
The Data Scientist will lead the growth data science area to enhance user growth by collaborating closely with product data scientists and the marketing team. They will inform customer acquisition strategies and support growth marketing decisions. The role involves solving attribution puzzles and assessing the impact of marketing channels and campaigns to refine strategies for maximum ROI. The Data Scientist will analyze the customer journey phases to identify growth opportunities and design and execute experiments to optimize marketing strategies. They will also build automated reporting and executive-facing dashboards to track acquisition, monetization, and engagement trends, as well as create personalized segmentation strategies and drive innovation in data tooling and frameworks.
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